A simplified method was put forward on a binary image contour line extraction.
该文对二值图像轮廓线的提取，提出了一种简捷的算法。
Line extraction should try to link those lines fragmented by noise, and avoid over-link in the mean time, in order to get features that reflect correctly characters of image events.
直线提取需要尽量将那些因噪声影响而断裂的直线连接起来，同时，还要尽量避免过度连接，才能形成正确反映图像事件实质的特征。
This paper has deep ly researched image segmentation. Aiming at the color image with complicated background, a novel method of close contour line extraction is presented.
该文针对复杂背景的彩色图像，提出并实现了一种图像封闭轮廓线提取的方法。
The experimental results justify that, under different precision of image point extraction, compared to present approaches of line reconstruction, the proposed method is constantly more efficient.
试验表明，在不同的像点提取精度下，对于不同空间水平直线，本方法均能取得较好结果。
This paper proposes a fast algorithm for texture feature extraction. The new algorithm is suitable for remote image classification on line.
给出一种抽取纹理特征的算法，该算法实时性强，适于在线遥感图像分类。
Experimental results showed that the improved algorithm is more effective than the line analysis based method and has good results of building extraction from sensing image.
实验结果显示，该算法优于单一的基于线段分析的方法，对遥感图像中建筑物的提取具有较好的效果。
Experimental results showed that the improved algorithm is more effective than the line analysis based method and has good results of building extraction from sensing image.
实验结果显示，该算法优于单一的基于线段分析的方法，对遥感图像中建筑物的提取具有较好的效果。
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